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Building an Open-source Simulation Platform of Acoustic Radiation Force-based Breast Elastography

机译:建立基于声辐射力的乳房弹性成像开源仿真平台

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摘要

Ultrasound-based elastography including strain elastography (SE), acoustic radiation force Impulse (ARFI) imaging, point shear wave elastography (pSWE) and supersonic shear imaging (SSI) have been used to differentiate breast tumors among other clinical applications. The objective of this study is to extend a previously published virtual simulation platform built for ultrasound quasi-static breast elastography toward acoustic radiation force-based breast elastography. Consequently, the extended virtual breast elastography simulation platform can be used to validate image pixels with known underlying soft tissue properties (i.e. “ground truth”) in complex, heterogeneous media, enhancing confidence in elastographic image interpretations.The proposed virtual breast elastography system inherited four key components from the previously published virtual simulation platform: an ultrasound simulator (Field II), a mesh generator (Tetgen), a finite element solver (FEBio) and a visualization and data processing package (VTK). Using a simple message passing mechanism, functionalities have now been extended to acoustic radiation force-based elastography simulations.Examples involving three different numerical breast models with increasing complexity – one uniform model, one simple inclusion model and one virtual complex breast model derived from magnetic resonance imaging data, were used to demonstrate capabilities of this extended virtual platform. Overall, simulation results were compared with the published results. In the uniform model, the estimated shear wave speed (SWS) values were within 4% compared to the predetermined SWS values. In the simple inclusion and the complex breast models, SWS values of all hard inclusions in soft backgrounds were slightly underestimated, similar to what has been reported. The elastic contrast values and visual observation show that ARFI images have higher spatial resolution, while SSI images can provide higher inclusion-to-background contrast.In summary, our initial results were consistent with our expectations and what have been reported in the literature. The proposed (open-source) simulation platform can serve as a single gateway to perform many elastographic simulations in a transparent manner, thereby promoting collaborative developments.
机译:基于超声的弹性成像,包括应变弹性成像(SE),声辐射力脉冲(ARFI)成像,点剪切波弹性成像(pSWE)和超声剪切成像(SSI),已被用于区分乳腺肿瘤以及其他临床应用。这项研究的目的是将为超声准静态乳房弹性成像而构建的先前发布的虚拟仿真平台扩展到基于声辐射力的乳房弹性成像。因此,扩展的虚拟乳房弹性成像仿真平台可用于验证复杂,异构介质中具有已知潜在软组织特性(即“地面真相”)的图像像素,从而增强了对弹性成像图像解释的信心。拟议的虚拟乳房弹性成像系统继承了四个先前发布的虚拟仿真平台的关键组件:超声模拟器(Field II),网格生成器(Tetgen),有限元求解器(FEBio)以及可视化和数据处理程序包(VTK)。使用简单的消息传递机制,功能现已扩展到基于声辐射力的弹性成像模拟。示例涉及复杂性不断提高的三种不同数值乳腺模型–一种统一模型,一种简单包含模型和一种源自磁共振的虚拟复杂乳腺模型成像数据用于演示此扩展虚拟平台的功能。总体而言,将模拟结果与发布的结果进行了比较。在均匀模型中,与预定SWS值相比,估计的剪切波速度(SWS)值在4%以内。在简单的包裹体和复杂的乳房模型中,软背景中所有硬包裹体的SWS值均被低估了,与已报道的相似。弹性对比值和目测结果表明,ARFI图像具有更高的空间分辨率,而SSI图像可以提供更高的夹杂物与背景的对比度。总之,我们的初步结果与我们的预期和文献报道相符。拟议的(开源)仿真平台可以用作单个网关,以透明方式执行许多弹性成像仿真,从而促进协作开发。

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